Senior Business Data Analyst

at  Enterpryze Consulting Ltd

ESSENTIAL QUALIFICATIONS/EXPERIENCE:

· A minimum requirement of a Bachelor’s degree at a nationally recognised/certified University in a related discipline and 4 years post-related experience
· Or exceptionally, the lack of a university degree may be compensated by the demonstration of a candidate’s particular abilities or experience that is/are of interest to NCI Agency, that is, at least 10 years extensive and progressive expertise in duties related to the function of the post
· Demonstrable experience as a Data Analyst, Data Scientist, or similar role, or experience performing these functions roles as part of another job
· Demonstrable experience with at least one programming language, such as Python, R, or C#
· Experience with commercially available or open-source data visualization tools, such as Power BI, Grafana or R Shiny
· Experience with SQL and relational databases, such as SQL Server
· Experience with user experience KPIs and reporting
· Experience managing small teams

DESIRABLE QUALIFICATIONS/EXPERIENCE:

· Prior experience of working in an international environment comprising both military and civilian elements
· Knowledge of NATO responsibilities and organization, including ACO and ACT
· Training & Certifications: ITIL Foundation, DevOps Foundation and certifications proving the competency level in programming/software development skills

· Data management
ü Devises and implements master data management processes
ü Derives data management structures and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation
ü Plans effective data storage, sharing and publishing within the organisation
ü Independently validates external information from multiple sources
ü Assesses issues that might prevent the organisation from making maximum use of its information assets
ü Provides expert advice and guidance to enable the organisation to get maximum value from its data assets
· Programming/software development
ü Designs, codes, verifies, tests, documents, amends and refactors complex programs/scripts and integration software services
ü Contributes to the selection of the software development methods, tools and techniques
ü Applies agreed standards and tools to achieve well-engineered outcomes
· Data modelling and design
ü Sets standards for data modelling and design tools and techniques, advises on their application and ensures compliance
ü Manages the investigation of enterprise data requirements based upon a detailed understanding of information requirements
ü Coordinates the application of analysis, design and modelling techniques to establish, modify or maintain data structures and their associated components
ü Manages the iteration, review and maintenance of data requirements and data models
· Data engineering
ü Plans and drives the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements.
ü Monitors application of data standards and architectures including security and compliance.
ü Contributes to organisational policies, standards, and guidelines for data engineering.
· Data science
ü Plans and drives all stages of the development of data science and analytics solutions
ü Provides expert advice to evaluate the problems to be solved and the need for data science solutions
ü Identifies what data sources to use or acquire
ü Specifies and applies appropriate data science techniques and specialised programming languages.
ü Reviews the benefits and value of data science techniques and tools and recommends improvements
ü Contributes to developing policy, standards and guidelines for developing, evaluating, monitoring and deploying data science solutions
· Business intelligence
ü Plans and manages business intelligence activities
ü Ensures that business intelligence processes are robust, efficient and fit for purpose, focusing on automation, key controls and data quality
ü Advises on the available standards, procedures, methods, tools and techniques
ü Manages reviews of the benefits and value of business intelligence techniques and tools and recommends improvements
· Data visualisation
ü Leads exploration of new approaches for data visualisation
ü Establishes the purpose and parameters of the data visualisation
ü Provides overall control to ensure the appropriate use of data visualisation tools and techniques
ü Formats and communicates results using textual, numeric, graphical and other visualisation methods appropriate to the target audience
ü Advises on the appropriate use of data visualisation for different purposes and contexts to satisfy requirements
ü Develops plans showing how the identified user needs will be met
· User experience evaluation
ü Selects appropriate tools and techniques to evaluate user experiences of systems, products, services or devices
ü Validates that security, usability and accessibility requirements have been met
ü Checks operational systems, products, services or devices for changes in usability and accessibility needs
ü Interprets and presents results of evaluations, prioritises issues and reports on remedial actions